Artificial Intelligence and the Future
How young adults reflect on technological change and its impact on their lives.
Keywords:
transhumanism, artificial intelligence, young adultsAbstract
The text provides a qualitative analysis of 30 statements given by young people (19-27 years of age), students of humanities (Jagiellonian University in Krakow, Poland), on the changes occurring due to new technologies. The results of the survey, supplemented by in-depth interviews, provide interesting conclusions regarding the strategies adopted by respondents in addressing challenges posed by the increasing use of artificial intelligence in various areas of life, both individual and collective. Fears, hopes, optimism, and pessimism — varying in intensity — intertwine in the respondents' statements, finding different justifications, both rational and emotional. A detailed description of the study and interpretation of the results will be presented in the full text.
Il testo presenta un’analisi qualitativa di 30 dichiarazioni rilasciate da giovani (di età compresa tra i 19 e i 27 anni), studenti di discipline umanistiche presso l’Università Jagellonica di Cracovia (Polonia), riguardo ai cambiamenti in atto dovuti alle nuove tecnologie. I risultati dell’indagine, integrati da interviste in profondità, offrono interessanti conclusioni sulle strategie adottate dai partecipanti nell’affrontare le sfide poste dal crescente utilizzo dell’intelligenza artificiale in diversi ambiti della vita, sia individuale sia collettiva. Paure, speranze, ottimismo e pessimismo — con intensità variabili — si intrecciano nelle dichiarazioni dei rispondenti, trovando differenti giustificazioni, sia di natura razionale sia emotiva. Una descrizione dettagliata dello studio e l’interpretazione dei risultati saranno presentate nel testo completo.
References
Banas, M., & Puuronen, V. (Eds.). (2025). Dynamics of Uncertainty, Unrest and Fragility in Europe in the Shadow of the Ukraine and Migration Crises. Routledge.
Braidotti, R. (2013). The Posthuman. Polity Press.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Re-search in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Bristow, J. (2015). Mannheim’s “Problem of Generations” revisited. In Baby Boomers and Generational Conflict (pp. 42–61). Palgrave Macmillan.
Brynjolfsson, E. (2022). The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence. Daedalus, 151(2), 272–287. https://doi.org/10.1162/DAED_a_01915
Buhmann, A., Paßmann, J., & Fieseler, C. (2020). Managing algorithmic accountability: Balancing reputational concerns, engagement strategies, and the potential of rational discourse. Journal of Business Ethics, 163, 265–280. https://doi.org/10.1007/s10551-019-04226-4
Byrne, D. (2022). A worked example of Braun and Clarke’s approach to reflexive thematic analysis. In Quality & Quantity: International Journal of Methodology, 56(3), 1391–1412. https://doi.org/10.1007/s11135-021-01182-y
Chen, Z. (2025). The humanities in an AI world: Personal reflections from SXSW EDU 2025. JSTOR. https://www.about.jstor.org/blog/the-humanities-in-an-ai-world-personal-reflections-from-sxsw-edu-2025/
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
Hinton, G. (2024, August 13). Hinton explains at AI4 how language models mirror human thought [Conference keynote coverage]. R&D World. https://www.rdworldonline.com/hinton-ai4-conference-language-model-insights-rd-impact/
Hochschild, A. R. (1979). Emotion work, feeling rules, and social structure. American Journal of Sociology, 85(3), 551–575. https://doi.org/10.1086/227049
Jasanoff, S. (2004). The idiom of co-production. In S. Jasanoff (Ed.), States of knowledge: The co-production of science and the social order (pp. 1-12). Routledge.
Jasanoff, S., & Kim, S.-H. (Eds.). (2015). Dreamscapes of modernity: Sociotechnical imagi-naries and the fabrication of power. University of Chicago Press.
Latour, B. (2005). Reassembling the social: An introduction to actor-network-theory. Ox-ford University Press.
Livingstone, S., Stoilova, M., & Nandagiri, R. (2019). Children’s data and privacy online: Growing up in a digital age. London School of Economics and Political Science.
Lockhart, E. N. S. (2025). Creativity in the age of AI: The human condition and the limits of machine generation. Journal of Cultural Cognitive Science, 9(1), 83–88. https://doi.org/10.1007/s41809-024-00158-2
Marres, N. (2017). Digital sociology: The reinvention of social research. Polity Press.
OECD. (2023). Artificial Intelligence and the Future of Skills. https://www.oecd.org/education/ai-future-skills
Pew Research Center. (2022). AI and human enhancement: Americans’ openness is tem-pered by a range of concerns. https://www.pewresearch.org/internet/2022/03/17/ai-and-human-enhancement-americans-openness-is-tempered-by-a-range-of-concerns/
Pilcher, J. (1994). Mannheim’s sociology of generations: An undervalued legacy. The British Journal of Sociology, 45(3), 481–495.
Politechnika Wroclawska & K+Research. (2025). Miedzy ciekawoscia a niepewnoscia: Postawy Polaków wobec sztucznej inteligencji. https://pwr.edu.pl/uczelnia/aktualnosci/polacy-a-sztuczna-inteligencja--niepewni--ale-ciekawi-co-przyniesie-przyszlosc-13795.html
Simon, J., Rieder, G. & Branford, J. (2024). The Philosophy and Ethics of AI: Conceptual, Empirical, and Technological Investigations into Values. Digital Society, 3(1). https://doi.org/10.1007/s44206-024-00094-2
Song, B., Zhu, Q., & Luo, J. (2024). Human-AI collaboration by design. Proceedings of the Design Society, 4, 2247–2256. https://doi.org/10.1017/pds.2024.227
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693